Similar Datasets
Project description:A gene expression atlas for oat grain – from initiation to germination
| PRJNA932293 | ENA
Project description:Using high-throughput RNA sequencing, we developed a spatiotemporal transcriptome atlas for seed development of eight maize inbred lines based on 144 samples from the middle to late stages of grain development. A total of 26,747 genes with FPKM value more than 1 at least one sample were found to be involved in programming grain development. Global comparisons of genes expression highlighted the fundamental transcriptomic reprogramming and the phases of development. Coexpression analysis provided further insight into the dynamic reprogramming of the transcriptome by revealing functional transitions during maturation. Combined with grain moisture content and grain dehydration rate of different developmental time points of eight maize inbred lines, we captured a large number of genes related to grain moisture content and grain dehydration rate, which should help elucidate key mechanisms and regulatory networks that underlie grain dehydration during maize grain development. These results provide a comprehensive understanding of which biological processes are involved in the regulation of moisture variety of maize grain, the general principles of which provide a new perspective on improving maize grain dehydration characteristics. Meanwhile, this study provides a valuable resource for understanding the genetic regulation of maize grain development.
2022-10-01 | GSE158816 | GEO
Project description:Cellular protein abundance results from the relative rates of protein synthesis and protein degradation. Through combining in vivo stable isotope labelling and in-depth quantitative proteomics, we created a protein turnover atlas of wheat grain proteins during grain development. Our data demonstrate that protein turnover rates for 1447 unique wheat grain protein groups have an apparent spatiotemporal pattern that aids explanation of the 60% of variation in protein abundances that are not attributable to gene expression. Protein synthesis rates of individual proteins vary over 100 fold and degradation rates over 20 fold. Storage proteins have both higher synthesis and degradation rates than the overarching average rates of grain proteins in other functional categories, while those proteins involved in photosynthesis, DNA synthesis and glycolysis, by contrast, are house-keeping proteins that show low synthesis and degradation rates at all times. Approximately 20% of total grain ATP production through respiration is used for grain proteome biogenesis and maintenance, and the grain invests nearly half of this budget in storage protein synthesis alone. Degradation of storage proteins as a class of grain proteins also consumed a significant amount of the total ATP allocated to protein degradation processes. This analysis suggests that 20% of newly synthesized storage proteins are turned over rather than stored suggesting that this process is not energetically optimal. This approach to measure protein turnover rates at the proteome scale shows how different functional categories of grain proteins accumulate, calculates the costs of futile cycling of protein turnover during wheat grain development and identifies the most and the least stable wheat grain proteins.
2021-12-21 | PXD022231 | Pride
Project description:The goal was to measure the postprandial effect of an oat bran meal on gene expression in leukocytes from healthy subjects and to investigate the postprandial glucose, insulin and triglyceride responses. Linear mixed models were used for the array data to study the simultaneous dependency on many factors and functional categories of genes whose expression were correlated with oat bran intake were determined.
2010-07-01 | E-MEXP-2261 | biostudies-arrayexpress
Project description:Background & Aims: Non-alcoholic fatty liver disease (NALFLD)-associated changes in gut microbiota are important drivers of disease progression toward fibrosis. Therefore, reversing microbiota alterations could ameliorate NAFLD progression. Oat beta-glucan, a non-digestible polysaccharides, has shown promising therapeutic effects on hyperlipidemia associated with NAFLD, but its impact on gut microbiota and most importantly NAFLD fibrosis remains unknown. Methods: We performed detailed metabolic phenotyping including body composition, glucose tolerance, and lipid metabolism as well as comprehensive characterization of the gut-liver axis in a western-style diet (WSD)-induced model of NAFLD and assessed the effect of a beta-glucan intervention on early and advanced liver disease. Gut microbiota was modulated using broad-spectrum antibiotic (Abx) treatment. Results: Oat beta-glucan supplementation did not affect WSD-induced body weight gain, glucose intolerance, and the metabolic phenotype remained largely unaffected. Interestingly, oat beta-glucan dampened NAFLD inflammation, associated with significantly reduced monocyte-derived macrophages (MoMFs) infiltration, fibroinflammatory gene expression, and strongly reduced fibrosis development. Mechanistically, this protective effect was not mediated by changes in bile acid composition or signaling, but was dependent on gut microbiota and was lost upon Abx treatment. Specifically, oat beta-glucan partially reversed unfavorable changes in gut microbiota, resulting in an expansion of protective taxa, including Ruminococcus, and Lactobacillus followed by reduced translocation of TLR ligands. Conclusions: Our findings identify oat beta-glucan as a highly efficacious food supplement that dampens inflammation and fibrosis development in diet-induced NAFLD. These results, along with its favorable dietary profile, suggest that it may be a cost-effective and well-tolerated approach to preventing NAFLD progression and should be assessed in clinical studies.
2024-01-01 | GSE246738 | GEO
Project description:Small RNAs (~20 to 24 nucleotides) function as naturally occurring molecules critical in developmental pathways in plants and animals. Here we analyze small RNA populations from mature rice grain and seedlings by pyrosequencing. Using a clustering algorithm to locate regions producing small RNAs, we classified hotspots of small RNA generation within the genome. Hotspots here are defined as 1 kb regions within which small RNAs are significantly overproduced relative to the rest of the genome. Hotspots were identified to facilitate characterization of different categories of small RNA regulatory elements. Included in the hotspots, we found known members of 23 miRNA families representing 92 genes, one trans acting siRNA (ta-siRNA) gene, novel siRNA-generating coding genes and phased siRNA generating genes. Interestingly, over 20% of the small RNA population in grain came from a single foldback structure, which generated eight phased 21-nt siRNAs. This is reminiscent of a newly arising miRNA derived from duplication of progenitor genes. Our results provide data identifying distinct populations of small RNAs, including phased small RNAs, in mature grain to facilitate characterization of small regulatory RNA expression in monocot species. In an attempt to gain a broader understanding of gene expression in rice grain, we characterized small RNA populations from Oryza sativa spp. japonica cv. Nipponbare utilizing a deep sequencing approach. Small RNA libraries were constructed from three pools of mature, dormant rice grain and three-week post germination seedlings utilizing RNA-adapter mediated ligation. Each of the four libraries were independently sequenced using high-throughput pyrosequencing. We obtained a total of 679,146 sequences from the three rice grain libraries and 257,394 from one rice seedling library.
2008-11-24 | E-GEOD-13152 | biostudies-arrayexpress
Project description:A spatial resolved transcriptome for germinating barley grain was obtained for over 14,000 genes at 0, 1, 3 6 and 24 hours after imbibition. The spatial expression of a number of genes was validated using in-situ PCR, quantitative comparison to bulk RNA-seq reveal good correlations, despite the differences in the methodologies, and marker gene definition for tissues/clusters was consistent with previous gene specific studies. Targeted analysis of genes encoding aquaporins, crucial for water and ion movement during germination, revealed specific spatial expression patterns for gene members, and the tissue specific changes in gene members over time. Highly restricted spatial (and temporal) expression patterns were observed for genes encoding cell wall and transcription factors, e.g. one of the strongest expressed transcription factors was a bZIP family member that responds to germinating promoting Karrikin. It’s expression was restricted to the scutellum and the adjacent endosperm (0-3 HAI) and declined afterwards. Discovery-based bio-informatic approaches revealed thousands of genes displayed a spatially restricted pattern within tissues, with gene ontology revealing enriched categories such as auxin related functions of transport and response factors displaying distinct spatial expression patterns in tissues. This provides unprecedented spatial resolved cellular map for germination and specific genes to target for functional genomics to define cellular restricted processes in tissues during germination.
2023-08-30 | GSE218970 | GEO